{"id":"https://openalex.org/W4402916616","doi":"https://doi.org/10.1109/cvprw63382.2024.00338","title":"A Universal Protocol to Benchmark Camera Calibration for Sports","display_name":"A Universal Protocol to Benchmark Camera Calibration for Sports","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4402916616","doi":"https://doi.org/10.1109/cvprw63382.2024.00338"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw63382.2024.00338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbi.uliege.be/bitstream/2268/317932/1/Magera2024AUniversal.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027677249","display_name":"Floriane Magera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Floriane Magera","raw_affiliation_strings":["EVS Broadcast Equipment"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EVS Broadcast Equipment","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045041267","display_name":"Thomas Hoyoux","orcid":"https://orcid.org/0009-0005-5060-8772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Hoyoux","raw_affiliation_strings":["EVS Broadcast Equipment"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EVS Broadcast Equipment","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024262717","display_name":"Olivier Barnich","orcid":"https://orcid.org/0009-0001-3123-5940"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olivier Barnich","raw_affiliation_strings":["EVS Broadcast Equipment"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EVS Broadcast Equipment","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047102584","display_name":"Marc Van Droogenbroeck","orcid":"https://orcid.org/0000-0001-6260-6487"},"institutions":[{"id":"https://openalex.org/I157674565","display_name":"University of Li\u00e8ge","ror":"https://ror.org/00afp2z80","country_code":"BE","type":"education","lineage":["https://openalex.org/I157674565"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marc Van Droogenbroeck","raw_affiliation_strings":["University of Liège,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liège,Belgium","institution_ids":["https://openalex.org/I157674565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2214,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96924552,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3335","last_page":"3346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.8920000195503235,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.8920000195503235,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.8303999900817871,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.789900004863739,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8220305442810059},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.7375550866127014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170557975769043},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7136093974113464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43963974714279175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36969637870788574},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13892167806625366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11867415904998779},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07572704553604126},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07235482335090637}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8220305442810059},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.7375550866127014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170557975769043},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7136093974113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43963974714279175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36969637870788574},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13892167806625366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11867415904998779},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07572704553604126},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07235482335090637},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw63382.2024.00338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:orbi.ulg.ac.be:2268/317932","is_oa":true,"landing_page_url":"https://orbi.uliege.be/handle/2268/317932","pdf_url":"https://orbi.uliege.be/bitstream/2268/317932/1/Magera2024AUniversal.pdf","source":{"id":"https://openalex.org/S4306400651","display_name":"Open Repository and Bibliography (University of Li\u00e8ge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157674565","host_organization_name":"University of Li\u00e8ge","host_organization_lineage":["https://openalex.org/I157674565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, du 17 au 21 juin 2024","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"pmh:oai:orbi.ulg.ac.be:2268/317932","is_oa":true,"landing_page_url":"https://orbi.uliege.be/handle/2268/317932","pdf_url":"https://orbi.uliege.be/bitstream/2268/317932/1/Magera2024AUniversal.pdf","source":{"id":"https://openalex.org/S4306400651","display_name":"Open Repository and Bibliography (University of Li\u00e8ge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157674565","host_organization_name":"University of Li\u00e8ge","host_organization_lineage":["https://openalex.org/I157674565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, du 17 au 21 juin 2024","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325905","display_name":"Service Public de Wallonie","ror":"https://ror.org/0215gxf82"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402916616.pdf","grobid_xml":"https://content.openalex.org/works/W4402916616.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W2122487083","https://openalex.org/W2130132547","https://openalex.org/W2605146214","https://openalex.org/W2746441252","https://openalex.org/W2797664359","https://openalex.org/W2798505423","https://openalex.org/W2900138024","https://openalex.org/W2921033848","https://openalex.org/W2967775316","https://openalex.org/W3013497113","https://openalex.org/W3015873503","https://openalex.org/W3035401278","https://openalex.org/W3070197474","https://openalex.org/W3116724277","https://openalex.org/W3119175810","https://openalex.org/W3130103516","https://openalex.org/W3185554473","https://openalex.org/W3186327039","https://openalex.org/W3186413649","https://openalex.org/W3190009776","https://openalex.org/W3211288341","https://openalex.org/W4200150523","https://openalex.org/W4205172069","https://openalex.org/W4212935147","https://openalex.org/W4283218895","https://openalex.org/W4284663764","https://openalex.org/W4292793888","https://openalex.org/W4292828369","https://openalex.org/W4292829049","https://openalex.org/W4292830052","https://openalex.org/W4296041517","https://openalex.org/W4298130065","https://openalex.org/W4298130096","https://openalex.org/W4316660547","https://openalex.org/W4317825455","https://openalex.org/W4318605752","https://openalex.org/W4319301225","https://openalex.org/W4320495957","https://openalex.org/W4320713096","https://openalex.org/W4385801727","https://openalex.org/W4385805127","https://openalex.org/W4386838029","https://openalex.org/W4387961656","https://openalex.org/W4388720148","https://openalex.org/W4394947386","https://openalex.org/W4402916172","https://openalex.org/W4402916376","https://openalex.org/W4402916792","https://openalex.org/W6856751863","https://openalex.org/W6858812857"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Camera":[0],"calibration":[1,32,95,166,176,239,260],"is":[2,38],"a":[3,142,164,255],"crucial":[4],"component":[5],"in":[6,34,96,197,258],"the":[7,16,24,28,45,61,74,79,90,98,102,129,153,159,170,179,194,220,252],"realm":[8],"of":[9,23,30,63,93,128,131,181,206,237],"sports":[10,35,64,75,108,132,262],"analytics,":[11,36],"as":[12,15,112,210],"it":[13],"serves":[14],"foundation":[17],"to":[18,78,88,101,158,250],"extract":[19],"3D":[20,99,186,208],"information":[21],"out":[22,127],"broadcast":[25,123],"images.":[26],"Despite":[27],"significance":[29],"camera":[31,94,124,160,165,175,238,259],"research":[33],"progress":[37],"impeded":[39],"by":[40,52,122],"outdated":[41],"benchmarking":[42,144,232],"criteria.":[43],"Indeed,":[44],"annotation":[46,204],"data":[47,205],"and":[48,59,118,168,225],"evaluation":[49],"metrics":[50],"provided":[51],"most":[53],"currently":[54],"available":[55],"benchmarks":[56],"strongly":[57],"favor":[58],"incite":[60],"development":[62],"field":[65,76,109,133],"registration":[66,134],"methods,":[67],"i.e.":[68],"methods":[69,85,177],"estimating":[70],"homographies":[71],"that":[72,230],"map":[73],"plane":[77],"image":[80,119,203],"plane.":[81],"However,":[82],"such":[83],"homography-based":[84],"are":[86,126],"doomed":[87],"overlook":[89],"broader":[91],"capabilities":[92],"bridging":[97],"world":[100],"image.":[103],"In":[104],"particular,":[105],"real-world":[106],"non-planar":[107],"elements":[110],"(such":[111],"goals,":[113],"corner":[114],"flags,":[115],"baskets,":[116],"\u2026)":[117],"distortion":[120],"caused":[121],"lenses":[125],"scope":[130],"methods.":[135,240],"To":[136],"overcome":[137],"these":[138],"limitations,":[139],"we":[140,189,228,248],"designed":[141],"new":[143,256],"protocol,":[145],"named":[146],"ProCC,":[147],"based":[148],"on":[149,202,219],"two":[150],"principles:":[151],"(1)":[152],"protocol":[154,171,233],"should":[155,172],"be":[156],"agnostic":[157],"model":[161],"chosen":[162],"for":[163,245,254,261],"method,":[167],"(2)":[169],"fairly":[173],"evaluate":[174],"using":[178],"reprojection":[180],"arbitrary":[182],"yet":[183],"accurately":[184],"known":[185],"objects.":[187],"Indirectly,":[188],"also":[190],"provide":[191],"insights":[192],"into":[193],"metric":[195],"used":[196],"SoccerNet-calibration,":[198],"which":[199],"solely":[200],"relies":[201],"viewed":[207],"objects":[209],"ground":[211],"truth,":[212],"thus":[213],"implementing":[214],"our":[215,231,243],"protocol.":[216],"With":[217],"experiments":[218],"World":[221],"Cup":[222],"2014,":[223],"CARWC,":[224],"SoccerNet":[226],"datasets,":[227],"show":[229],"provides":[234],"fairer":[235],"evaluations":[236],"By":[241],"defining":[242],"requirements":[244],"proper":[246],"benchmarking,":[247],"hope":[249],"pave":[251],"way":[253],"stage":[257],"applications":[263],"with":[264],"high":[265],"accuracy":[266],"standards.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}